Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
Rigorous overview of DCE methods and application in health economics
Transparency in how to apply current thinking on experimental design to health economics applications
Clear and illuminating series of methodological case studies by internationally respected leaders in their field
Using Discrete Choice Experiments to Value Health and Health Care takes a fresh and contemporay look at the growing interest in the development and application of discrete choice experiments (DCEs) within the field of health economics. The authors have written it with the purpose of giving the reader a better understanding of issues raised in the design and application of DCEs in health economics. The use of this relatively new instrument to value health and health care has now evolved to the point where a general text is necessary. The few existing books in this area are either research monographs or focus almost entirely on more advanced topics. By contrast, this book serves as a general reference for those applying the technique to health care for the first time as well as more experienced practitioners. Thus the book is relevant to post-graduate students and applied researchers with an interest in the use of DCEs for valuing health and health care and has international appeal.
The book comprises Chapters by highly regarded academics with experience of applying DCEs in the area of health. The first part of the book summarises how DCEs can be implemented, from experimental design to data analysis and the interpretation of results. In many ways this can be regarded as a crash course on the conduct of DCEs. Extensive reference is made throughout to other sources of literature where the interested reader can find further details. The book also includes a series of case studies illustrating the breadth of applications in health economics and some key methodological issues. Finally there is an overview of research issues discussed which the editors believe are at the leading edge of this field.
Content Level »Research
Keywords »benefit valuation - data analysis - discrete choice experiment - health economics - methodology - preference elicitation
List of contributors. Preface. Introduction; K. Gerard, M. Ryan, and M. Amaya-Amaya. Part 1: DCEs – what are they and their application in health: a users guide. 1. Discrete choice experiments in a nutshell; M. Amaya-Amaya, K Gerard and M Ryan. 2. Designing discrete choice experiments for health care; D.J. Street, L. Burgess, R. Viney and J. Louviere. 3. Practical issues in conducting a discrete choice experiment; M. Ryan, V. Watson and K. Gerard. Part 2: Case Studies in Valuing Health and Health Care. 4. Using discrete choice experiments to go beyond clinical outcomes when evaluating clinical practice; M. Ryan, D. Skåtun and K. Major. 5. Using discrete choice modelling to investigate breast screening participation; K. Gerard, M. Shanahan and J. Louviere. 6. Preferences for health care programmes: Results from a general population discrete choice survey; S. Bryan and T. Roberts. 7. Examining the preferences of health care providers: An application to hospital consultants; A. Scott, C. Ubach, F. French and G. Needham. Part 3 Methodological issues. 8. The price proxy in discrete choice experiments: Issues of relevance for future research; D. Gyrd-Hansen and U. Slothuus Skjoldborg. 9. ‘Irrational’ stated preference: a quantitative and qualitative investigation; F. San Miguel, M. Ryan and M. Amaya-Amaya. 10. Using stated preference and revealed preference data fusion modeling in health care; T. Mark and J. Swait. PART 4: CONCLUSIONS. 11. Concluding thoughts; M. Ryan, M. Amaya-Amaya and K. Gerard. Index.